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A competing risks approach to "biologic" interaction.
- Source :
-
Lifetime data analysis [Lifetime Data Anal] 2015 Apr; Vol. 21 (2), pp. 300-14. Date of Electronic Publication: 2015 Jan 23. - Publication Year :
- 2015
-
Abstract
- In epidemiology, the concepts of "biologic" and "statistical" interactions have been the subject of extensive debate. We present a new approach to biologic interaction based on Rothman's original (Am J Epidemiol, 104:587-592, 1976) discussion of sufficient causes. We do this in a probabilistic framework using competing risks and argue that sufficient cause interaction between two factors can be evaluated via the parameters in a particular statistical model, the additive hazard rate model. We present empirical conditions for presence of sufficient cause interaction and an example based on data from a liver cirrhosis trial illustrates the ideas.
- Subjects :
- Anti-Inflammatory Agents therapeutic use
Bias
Causality
Confounding Factors, Epidemiologic
Data Interpretation, Statistical
Denmark
Humans
Liver Cirrhosis drug therapy
Liver Cirrhosis mortality
Poisson Distribution
Prednisone therapeutic use
Randomized Controlled Trials as Topic
Risk Factors
Biometry methods
Effect Modifier, Epidemiologic
Proportional Hazards Models
Subjects
Details
- Language :
- English
- ISSN :
- 1572-9249
- Volume :
- 21
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Lifetime data analysis
- Publication Type :
- Academic Journal
- Accession number :
- 25613424
- Full Text :
- https://doi.org/10.1007/s10985-015-9318-z